wehub-resource-sync
58 lines
1.4 KiB
ReStructuredText
58 lines
1.4 KiB
ReStructuredText
.. SHAP documentation master file, created by
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sphinx-quickstart on Tue May 22 10:44:55 2018.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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Welcome to the SHAP documentation
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---------------------------------
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.. image:: artwork/shap_header.png
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:width: 600px
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:align: center
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**SHAP (SHapley Additive exPlanations)** is a game theoretic approach to explain the output of
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any machine learning model. It connects optimal credit allocation with local explanations
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using the classic Shapley values from game theory and their related extensions (see
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`papers <https://github.com/shap/shap#citations>`_ for details and citations).
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Install
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=======
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SHAP can be installed from either `PyPI <https://pypi.org/project/shap>`_ or
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`conda-forge <https://anaconda.org/conda-forge/shap>`_::
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pip install shap
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or
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conda install -c conda-forge shap
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.. toctree::
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:maxdepth: 2
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:caption: Introduction
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Topical overviews <overviews>
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.. toctree::
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:maxdepth: 2
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:caption: Examples
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Tabular examples <tabular_examples>
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Text examples <text_examples>
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Image examples <image_examples>
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Genomic examples <genomic_examples>
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.. toctree::
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:maxdepth: 2
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:caption: Reference
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API reference <api>
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API examples <api_examples>
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Benchmarks <benchmarks>
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.. toctree::
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:maxdepth: 1
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:caption: Development
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Release notes <release_notes>
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Contributing guide <contributing>
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